Example 2. After image size normalization, an image in the
ImageNet dataset has color pixels of spatial resolution \(224 \times 224\) . It has a raw dimension of \(224\times 224 \times 3=150,528\) .
AlexNet [1]} and VGG-16 [2]} were
proposed to solve the object classification problem in the ImageNet
dataset. The last convolutional layers of AlexNet and VGG have an
embedding space of \(13 \times 13 \times 256=43,264\)  and \(7 \times 7\times 512=25,088\)  dimensions, respectively.
